Datasets:
Tasks:
Text Retrieval
Sub-tasks:
entity-linking-retrieval
Languages:
Chinese
Size:
1M - 10M
ArXiv:
License:
File size: 3,435 Bytes
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---
annotations_creators:
- crowdsourced
- found
language:
- zh
language_creators:
- found
- crowdsourced
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: hansel
pretty_name: Hansel
size_categories:
- 1M<n<10M
- 1K<n<10K
source_datasets:
- original
tags: []
task_categories:
- text-retrieval
task_ids:
- entity-linking-retrieval
dataset_info:
- config_name: wiki
features:
- name: id
dtype: string
- name: text
dtype: string
- name: start
dtype: int64
- name: end
dtype: int64
- name: mention
dtype: string
- name: gold_id
dtype: string
splits:
- name: train
- name: validation
- config_name: hansel
features:
- name: id
dtype: string
- name: text
dtype: string
- name: start
dtype: int64
- name: end
dtype: int64
- name: mention
dtype: string
- name: gold_id
dtype: string
- name: source
dtype: string
- name: domain
dtype: string
splits:
- name: test-few-shot
- name: test-zero-shot
---
# Dataset Card for "Hansel"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Splits](#data-splits)
- [Citation](#citation)
## Dataset Description
- **Homepage:** https://github.com/HITsz-TMG/Hansel
- **Paper:** https://arxiv.org/abs/2207.13005
Hansel is a high-quality human-annotated Chinese entity linking (EL) dataset, focusing on tail entities and emerging entities:
- The test set contains Few-shot (FS) and zero-shot (ZS) slices, has 10K examples and uses Wikidata as the corresponding knowledge base.
- The training and validation sets are from Wikipedia hyperlinks, useful for large-scale pretraining of Chinese EL systems.
Please see our [WSDM 2023](https://www.wsdm-conference.org/2023/) paper [**"Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark"**](https://arxiv.org/abs/2207.13005) to learn more about our dataset.
## Dataset Structure
### Data Instances
{"id": "hansel-eval-zs-1463",
"text": "1905电影网讯 已经筹备了十余年的吉尔莫·德尔·托罗的《匹诺曹》，在上个月顺利被网飞公司买下，成为了流媒体巨头旗下的新片。近日，这部备受关注的影片确定了自己的档期：2021年。虽然具体时间未定，但影片却已经实实在在地向前迈出了一步。",
"start": 29,
"end": 32,
"mention": "匹诺曹",
"gold_id": "Q73895818",
"source": "https://www.1905.com/news/20181107/1325389.shtml",
"domain": "news"
}
### Data Splits
| | # Mentions | # Entities | Domain |
| ---- | ---- | ---- | ---- |
| Train | 9,879,813 | 541,058 | Wikipedia |
| Validation | 9,674 | 6,320 | Wikipedia |
| Hansel-FS | 5,260 | 2,720 | News, Social Media |
| Hansel-ZS | 4,715 | 4,046 | News, Social Media, E-books, etc.|
## Citation
If you find our dataset useful, please cite us.
```bibtex
@misc{xu2022hansel,
title = {Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark},
author = {Xu, Zhenran and Shan, Zifei and Li, Yuxin and Hu, Baotian and Qin, Bing},
publisher = {arXiv},
year = {2022},
url = {https://arxiv.org/abs/2207.13005}
}
```
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